We found 16 result.
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Information in Small Bits - Chapter 2
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
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Information in Small Bits - Chapter 3
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society. In Chapter 3, Alice and…
Information in Small BitsOutreach
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Information in Small Bits - Chapter 1
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
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Understanding Generative Adversarial Networks
15th Annual Shannon Memorial Lecture Understanding Generative Adversarial Networks David Tse Stanford University
Generative Adversarial Networks
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Active Methods: Learning as you go and as fast as you can  - Part 3
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Information bottlenecks in emerging distributed systems - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
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Polar Codes: Origins to 5G and Beyond - Part 1
Channel CodingCoding TheoryPolar Codes
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Information Theoretic Foundations for Data Science - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Information bottlenecks in emerging distributed systems - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
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An Information Theoretic Perspective on Database and Graph Matching - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
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Community-Aware Group Testing
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Group Testing
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Active Methods: Learning as you go and as fast as you can - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Active Methods: Learning as you go and as fast as you can  - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Polar Codes: Origins to 5G and Beyond - Part 2
Channel CodingCoding TheoryPolar Codes
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Information Theoretic Foundations for Data Science - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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An Information Theoretic Perspective on Database and Graph Matching - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching